/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements.  See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License.  You may obtain a copy of the License at
*
*    http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
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package ai.h2o.sparkling.benchmarks

import org.apache.spark.h2o.H2OFrame

class TrainAlgorithmFromH2OFrameBenchmark(context: BenchmarkContext, algorithmBundle: AlgorithmBundle)
  extends AlgorithmBenchmarkBase[H2OFrame](context, algorithmBundle) {

  override protected def initialize(): H2OFrame = loadDataToH2OFrame()

  override protected def body(trainingFrame: H2OFrame): Unit = {
    val h2oAlgorithm = algorithmBundle.h2oAlgorithm
    h2oAlgorithm._parms._train = trainingFrame.key
    h2oAlgorithm._parms._response_column = context.datasetDetails.labelCol
    h2oAlgorithm.trainModel().get()
  }
}
